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Korean Meteorological Society (한국기상학회)
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Low-Level Wind Shear (LLWS) Forecasts at Jeju International Airport using the KMAPP

고해상도 KMAPP 자료를 활용한 제주국제공항에서 저층 윈드시어 예측

  • Min, Byunghoon (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Yeon-Hee (Innovative Meteorological Research Department, National Institute of Meteorological Sciences) ;
  • Choi, Hee-Wook (Innovative Meteorological Research Department, National Institute of Meteorological Sciences) ;
  • Jeong, Hyeong-Se (Innovative Meteorological Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Kyu-Rang (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Seungbum (High Impact Weather Research Department, National Institute of Meteorological Sciences)
  • 민병훈 (국립기상과학원 재해기상연구부) ;
  • 김연희 (국립기상과학원 미래기반연구부) ;
  • 최희욱 (국립기상과학원 미래기반연구부) ;
  • 정형세 (국립기상과학원 미래기반연구부) ;
  • 김규랑 (국립기상과학원 재해기상연구부) ;
  • 김승범 (국립기상과학원 재해기상연구부)
  • Received : 2020.06.26
  • Accepted : 2020.09.16
  • Published : 2020.09.30
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Abstract

Low-level wind shear (LLWS) events on glide path at Jeju International Airport (CJU) are evaluated using the Aircraft Meteorological Data Relay (AMDAR) and Korea Meteorological Administration Post-Processing (KMAPP) with 100 m spatial resolution. LLWS that occurs in the complex terrains such as Mt. Halla on the Jeju Island affects directly aircraft approaching to and/or departing from the CJU. For this reason, accurate prediction of LLWS events is important in the CJU. Therefore, the use of high-resolution Numerical Weather Prediction (NWP)-based forecasts is necessary to cover and resolve these small-scale LLWS events. The LLWS forecasts based on the KMAPP along the glide paths heading to the CJU is developed and evaluated using the AMDAR observation data. The KMAPP-LLWS developed in this paper successfully detected the moderate-or-greater wind shear (strong than 5 knots per 100 feet) occurred on the glide paths at CJU. In particular, this wind shear prediction system showed better performance than conventional 1-D column-based wind shear forecast.

Keywords

References

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